Pedro Saa
email pnsaa@uc.cl
Keywords from publications:
Genome-scale Metabolic Models Infant Gut Microbiome Gsmm Bifidobacterium Longum Subsp.infantis Bacterial Metabolism Loopless Flux Ver más...Profile
Pedro Saa received the BSc in Biological Engineering and MEngSc in Chemical and Bioprocess Engineering degrees with maximum distinction in 2012 from the School of Engineering of the Pontifical Catholic University of Chile (PUC). He was awarded prizes for Best master thesis and Best postgraduate student of the department. Between 2012 and 2013, he worked as project engineer in Fraunhofer Chile Research at the Center of Systems Biotechnology, and as a research scientist in the Laboratory of Biotechnology of the Department of Chemical and Bioprocess Engineering at PUC. In 2013, he was awarded the BECAS-CHILE and International Postgraduate Research Scholarships to pursue doctoral studies at The University of Queensland, Australia. In 2017, he was conferred a PhD in the field of Systems Biology. In 2018, Pedro Saa took an appointment as Assistant Professor at the Department of Chemical and Bioprocess Engineering of PUC. Professor Saa has been actively involved in the development of novel mathematical frameworks for better understanding cellular metabolism. These frameworks hold a wide range of applications from metabolic engineering to personalized medicine.
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Keywords from publications
| Title | Year | Doi |
|---|---|---|
| Metabolic Modeling and Bidirectional Culturing of Two Gut Microbes Reveal Cross-Feeding Interactions and Protective Effects on Intestinal Cells | 2022 | https://doi.org/10.1128/msystems.00646-22 |
| Screening of COVID-19 cases through a Bayesian network symptoms model and psychophysical olfactory test | 2021 | https://doi.org/10.1016/j.isci.2021.103419 |
| Modeling approaches for probing cross-feeding interactions in the human gut microbiome | 2022 | https://doi.org/10.1016/j.csbj.2021.12.006 |
| Robust control of fed-batch high-cell density cultures: a simulation-based assessment | 2021 | https://doi.org/10.1016/j.compchemeng.2021.107545 |
| A robust hybrid observer for monitoring high-cell density cultures exhibiting overflow metabolism | 2021 | https://doi.org/10.1016/j.jprocont.2021.06.006 |
| Inferring composition and function of the human gut microbiome in time and space: A review of genome-scale metabolic modelling tools | 2020 | https://doi.org/10.1016/j.csbj.2020.11.035 |
| Engineering Saccharomyces cerevisiae for the Overproduction of beta-Ionone and Its Precursor beta-Carotene | 2020 | https://doi.org/10.3389/fbioe.2020.578793 |
| Expanding Metabolic Capabilities Using Novel Pathway Designs: Computational Tools and Case Studies | 2019 | https://doi.org/10.1002/biot.201800734 |
| From reconstruction to C-4 metabolic engineering: A case study for overproduction of polyhydroxybutyrate in bioenergy grasses | 2018 | https://doi.org/10.1016/j.plantsci.2018.03.027 |
| Genome-scale metabolic modeling of the human milk oligosaccharide utilization by <i>Bifidobacterium longum</i> subsp. <i>infantis</i> | 2024 | https://doi.org/10.1128/msystems.00715-23 |
| LooplessFluxSampler: an efficient toolbox for sampling the loopless flux solution space of metabolic models | 2024 | https://doi.org/10.1186/s12859-023-05616-2 |
| GRASP: a computational platform for building kinetic models of cellular metabolism | 2022 | https://doi.org/10.1093/bioadv/vbac066 |
| The topology of genome-scale metabolic reconstructions unravels independent modules and high network flexibility | 2022 | https://doi.org/10.1371/journal.pcbi.1010203 |
| Reliable calibration and validation of phenomenological and hybrid models of high-cell-density fed-batch cultures subject to metabolic overflow | 2024 | https://doi.org/10.1016/j.compchemeng.2024.108706 |
| Metabolic modeling of <i>Halomonas campaniensis</i> improves polyhydroxybutyrate production under nitrogen limitation | 2024 | https://doi.org/10.1007/s00253-024-13111-8 |
| Fractional adaptive observer for variable structure high cell density fed-batch cultures | 2024 | https://doi.org/10.1016/j.ifacol.2024.08.163 |
| Sensitivities in protein allocation models reveal distribution of metabolic capacity and flux control | 2024 | https://doi.org/10.1093/bioinformatics/btae691 |
School Co-Authors
- 1 publication
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Eduardo Agosín1 publication
- 1 publication
- 1 publication
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External Co-Authors
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Lisbel Barzaga-Martell1 publication
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Felipe Melis-Arcos1 publication
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Samira van den Bogaard1 publication
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Lars K. Nielsen1 publication
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Carolina Deantas-Jahn1 publication
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Tomas Proschle1 publication
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Tobias B. Alter1 publication
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Francisco Ibanez1 publication
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Sebastian N. Mendoza1 publication
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Sebastian Zapararte1 publication
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Hernan Puentes-Cantor1 publication
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Loreto Roman1 publication
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Cuauhtemoc Licona-Cassani1 publication
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Christopher C. Drovandi1 publication